Classify One Image
AMAZON_2_DSLR_ALEXNET Image Classification Model
Predictions
- 99.92% backpack
- 0.05% mouse
- 0.02% headphones
- 0.01% projector
- 0.0% mug
Job Status Done
- Initialized at 01:28:56 AM (1 second)
- Running at 01:28:57 AM (5 seconds)
-
Done
at 01:29:03 AM
(Total - 6 seconds)
- Initialized at 01:28:56 AM (1 second)
- Running at 01:28:57 AM (5 seconds)
-
Done
at 01:29:03 AM
(Total - 6 seconds)
Notes
None
| Description | Statistics | Visualization |
|---|---|---|
dataActivation |
Data shape: [ 3 227 227] Mean: -63.2853 Std deviation: 73.6249 |
|
scaledActivation |
Data shape: [ 3 227 227] Mean: -0.247208 Std deviation: 0.287597 |
|
bn0Weights (BatchNorm layer) 6 learned parameters |
Data shape: [1 3 1 1] Mean: -0.000349584 Std deviation: 0.000141673 |
|
bn0Activation |
Data shape: [ 3 227 227] Mean: -0.60547 Std deviation: 1.0617 |
|
conv1Weights (Convolution layer) 34,944 learned parameters |
Data shape: [96 3 11 11] Mean: -0.000134028 Std deviation: 0.0489355 |
|
conv1Activation |
Data shape: [96 55 55] Mean: 0.314191 Std deviation: 0.84063 |
|
pool1Activation |
Data shape: [96 27 27] Mean: 0.695517 Std deviation: 1.42933 |
|
bn1Weights (BatchNorm layer) 192 learned parameters |
Data shape: [ 1 96 1 1] Mean: 0.673499 Std deviation: 0.626546 |
|
bn1Activation |
Data shape: [96 27 27] Mean: 0.0971777 Std deviation: 0.223945 |
|
conv2Weights (Convolution layer) 307,456 learned parameters |
Data shape: [256 48 5 5] Mean: -0.00122473 Std deviation: 0.0198231 |
|
conv2Activation |
Data shape: [256 27 27] Mean: 0.0438289 Std deviation: 0.111987 |
|
pool2Activation |
Data shape: [256 13 13] Mean: 0.114209 Std deviation: 0.183151 |
|
bn2Weights (BatchNorm layer) 512 learned parameters |
Data shape: [ 1 256 1 1] Mean: 0.104723 Std deviation: 0.0726979 |
|
bn2Activation |
Data shape: [256 13 13] Mean: 0.0425225 Std deviation: 0.183126 |
|
conv3Weights (Convolution layer) 885,120 learned parameters |
Data shape: [384 256 3 3] Mean: -0.000619614 Std deviation: 0.0131063 |
|
conv3Activation |
Data shape: [384 13 13] Mean: 0.0385923 Std deviation: 0.0858678 |
|
bn3Weights (BatchNorm layer) 768 learned parameters |
Data shape: [ 1 384 1 1] Mean: 0.0390524 Std deviation: 0.0312806 |
|
bn3Activation |
Data shape: [384 13 13] Mean: 0.0281946 Std deviation: 0.205216 |
|
conv4Weights (Convolution layer) 663,936 learned parameters |
Data shape: [384 192 3 3] Mean: -0.00208361 Std deviation: 0.0135521 |
|
conv4Activation |
Data shape: [384 13 13] Mean: 0.0223638 Std deviation: 0.0613118 |
|
bn4Weights (BatchNorm layer) 768 learned parameters |
Data shape: [ 1 384 1 1] Mean: 0.021647 Std deviation: 0.0269958 |
|
bn4Activation |
Data shape: [384 13 13] Mean: 0.0247575 Std deviation: 0.836754 |
|
conv5Weights (Convolution layer) 442,624 learned parameters |
Data shape: [256 192 3 3] Mean: -0.00118281 Std deviation: 0.0253082 |
|
conv5Activation |
Data shape: [256 13 13] Mean: 0.635405 Std deviation: 1.43804 |
|
pool5Activation |
Data shape: [256 6 6] Mean: 1.71355 Std deviation: 2.33697 |
|
fc6Weights (InnerProduct layer) 37,752,832 learned parameters |
Data shape: [4096 9216] Mean: -9.16653e-05 Std deviation: 0.00398205 |
Not shown |
fc6Activation |
Data shape: [4096] Mean: 0.692464 Std deviation: 1.3693 |
|
fc7Weights (InnerProduct layer) 16,781,312 learned parameters |
Data shape: [4096 4096] Mean: -0.000351828 Std deviation: 0.00599186 |
Not shown |
fc7Activation |
Data shape: [4096] Mean: 0.448466 Std deviation: 0.889237 |
|
fc8_newWeights (InnerProduct layer) 127,007 learned parameters |
Data shape: [ 31 4096] Mean: 1.48066e-05 Std deviation: 0.0103634 |
Not shown |
fc8Activation |
Data shape: [31] Mean: 0.0632269 Std deviation: 3.84511 |
|
softmaxActivation |
Data shape: [31] Mean: 0.0322581 Std deviation: 0.176536 |
|
| Totals | Total learned parameters: 56,997,477 |